| 2022 | ICMLA | AI privacy preserving robots working in a smart sensor environment. | Imen Chakroun, Geert Vanmeerbeeck, Roel Wuyts, Wilfried Verarcht |
| 2020 | ICPRAM | Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection. | Imen Chakroun, Thomas J. Ashby, Sayantan Das, Sandip Halder, Roel Wuyts, Wilfried Verachtert |
| 2018 | ESANN | Cache-efficient Gradient Descent Algorithm. | Imen Chakroun, Tom Vander Aa, Thomas J. Ashby |
| 2017 | ICCS | Distributed Bayesian Probabilistic Matrix Factorization. | Tom Vander Aa, Imen Chakroun, Tom Haber |
| 2017 | ICCS | SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm. | Imen Chakroun, Tom Haber, Thomas J. Ashby |
| 2016 | CLUSTER | Distributed Bayesian Probabilistic Matrix Factorization. | Tom Vander Aa, Imen Chakroun, Tom Haber |
| 2016 | PDP | Exploring Parallel Implementations of the Bayesian Probabilistic Matrix Factorization. | Imen Chakroun, Tom Haber, Tom Vander Aa, Thomas Kovac |
| 2013 | ICCS | Operator-Level GPU-Accelerated Branch and Bound Algorithms. | Imen Chakroun, Nordine Melab |
| 2012 | CLUSTER | A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem. | Nouredine Melab, Imen Chakroun, Mohand Mezmaz, Daniel Tuyttens |
| 2012 | HPCC | An Adaptative Multi-GPU Based Branch-and-Bound. A Case Study: The Flow-Shop Scheduling Problem. | Imen Chakroun, Nouredine Melab |
| 2011 | PPAM | Reducing Thread Divergence in GPU-Based B&B Applied to the Flow-Shop Problem. | Imen Chakroun, Ahcne Bendjoudi, Nouredine Melab |